Utility function estimation: the entropy approach
Statistical Finance
2009-11-13 v1 Data Analysis, Statistics and Probability
Abstract
The maximum entropy principle can be used to assign utility values when only partial information is available about the decision maker's preferences. In order to obtain such utility values it is necessary to establish an analogy between probability and utility through the notion of a utility density function. According to some authors [Soofi (1990), Abbas (2006a) (2006b), Sandow et al. (2006), Friedman and Sandow (2006), Darooneh (2006)] the maximum entropy utility solution embeds a large family of utility functions. In this paper we explore the maximum entropy principle to estimate the utility function of a risk averse decision maker.
Keywords
Cite
@article{arxiv.0709.0591,
title = {Utility function estimation: the entropy approach},
author = {Andreia Dionisio and A. Heitor Reis},
journal= {arXiv preprint arXiv:0709.0591},
year = {2009}
}
Comments
9 pages, paper presented at APFA 6 conference